Triple
T12385503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erlangen-Höchstadt |
E295851
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Großenseebach
Großenseebach is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany.
|
E980297
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Großenseebach | Statement: [Erlangen-Höchstadt, containsMunicipality, Großenseebach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Großenseebach Context triple: [Erlangen-Höchstadt, containsMunicipality, Großenseebach]
-
A.
Oberleichtersbach
Oberleichtersbach is a small municipality in the Bavarian region of Lower Franconia in Germany.
-
B.
Heslibach
Heslibach is a locality within the municipality of Küsnacht in the canton of Zürich, Switzerland, known primarily as a residential area along the Lake Zurich shore.
-
C.
Oberschweinbach
Oberschweinbach is a small municipality in the Upper Bavarian region of Germany, situated within the rural area west of Munich.
-
D.
Obersüßbach
Obersüßbach is a small municipality in the Landshut district of Lower Bavaria in southeastern Germany.
-
E.
Untergriesbach
Untergriesbach is a market town in Lower Bavaria, Germany, situated near the Danube River close to the Austrian border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Großenseebach Triple: [Erlangen-Höchstadt, containsMunicipality, Großenseebach]
Generated description
Großenseebach is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Großenseebach Target entity description: Großenseebach is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany.
-
A.
Oberleichtersbach
Oberleichtersbach is a small municipality in the Bavarian region of Lower Franconia in Germany.
-
B.
Heslibach
Heslibach is a locality within the municipality of Küsnacht in the canton of Zürich, Switzerland, known primarily as a residential area along the Lake Zurich shore.
-
C.
Oberschweinbach
Oberschweinbach is a small municipality in the Upper Bavarian region of Germany, situated within the rural area west of Munich.
-
D.
Obersüßbach
Obersüßbach is a small municipality in the Landshut district of Lower Bavaria in southeastern Germany.
-
E.
Untergriesbach
Untergriesbach is a market town in Lower Bavaria, Germany, situated near the Danube River close to the Austrian border.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6347816408190904ea71d2a72398f |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f6356b545c819089a5f5b901afc5f2 |
completed | May 2, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f636382ffc8190becfae41757a45d8 |
completed | May 2, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:54 p.m.